Related simulators
Continue with similar topics in this category — or all 85 in Math Visualization.
Gradient Descent (2D)
Level sets of f(x,y) and path (x,y) ← (x,y) − η∇f; bowl or elliptic well.
Finite Element Poisson Solver (2D)
Triangular P1 finite elements for -Δu=f on a square: assemble stiffness matrices, pin Dirichlet nodes or add natural Neumann flux, solve by CG, and view potential as a colored membrane.
PCA / SVD Geometry
Covariance ellipse and SVD view of dimensionality reduction: principal components, explained variance, and rank-1 reconstruction error.
Gradient Descent Optimizers
Compare SGD, momentum, and Adam on a curved loss landscape; tune learning rate, curvature, stability, and iteration count.
Flow Field Particles
Synthetic v(x,y,t); advection with wrap; optional arrow grid.
Heat Equation: Finite Differences
1D heat equation u_t = αu_xx with explicit FTCS and implicit backward Euler; tune CFL r = αΔt/Δx², watch explicit blow-up for r > 1/2, and compare numerical diffusion.